| User | masterclimby |
| Upload Date | September 04 2025 02:59 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8423
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
8407
1.56 KIPS |
|
|
Image Classification (Q)
|
100% |
20668
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9243
149.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9083
147.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24249
393.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16445
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16765
19.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
65161
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
8468
671.6 IPS |
|
|
Object Detection (HP)
|
100% |
8472
672.0 IPS |
|
|
Object Detection (Q)
|
88% |
21562
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
26482
314.7 IPS |
|
|
Face Detection (HP)
|
100% |
26547
315.4 IPS |
|
|
Face Detection (Q)
|
100% |
54508
647.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21525
165.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21085
162.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
59326
461.7 IPS |
|
|
Style Transfer (SP)
|
100% |
47181
60.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47043
60.5 IPS |
|
|
Style Transfer (Q)
|
98% |
164144
211.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10272
379.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10236
378.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30503
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
6503
8.68 KIPS |
|
|
Text Classification (HP)
|
100% |
6464
8.63 KIPS |
|
|
Text Classification (Q)
|
92% |
8955
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
11575
199.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11574
199.4 IPS |
|
|
Machine Translation (Q)
|
100% |
14087
242.7 IPS |